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AI Job Summary

Write and review production code for a knowledge catalog system supporting AI applications. Lead design reviews with peers and stakeholders, triage and debug system issues, and contribute to documentation. Requires a bachelor's degree, two years developing large-scale infrastructure or distributed systems, two years software development experience, one year with applied AI/ML or GenAI technologies, and proficiency in Java, C++, Go, or similar languages.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
  • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
  • 1 years of experience with applied AI/ML or GenAI technologies.
  • Experience with software development in one or more general purpose programming languages (e.g., Java, C/C++, or Go, etc.).
  • Experience with Distributed Systems.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience with shipping 0-to-1 AI applications, with a holistic understanding of product, quality, and infra.
  • Experience developing Cloud or SaaS products.
  • Knowledge of data warehouses, big data, SQL, and data governance.
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
  • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
  • 1 years of experience with applied AI/ML or GenAI technologies.
  • Experience with software development in one or more general purpose programming languages (e.g., Java, C/C++, or Go, etc.).
  • Experience with Distributed Systems.
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  • Role Software Engineer III, Knowledge Catalog For AI
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

152K – 310K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 275 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
4 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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